mirror of https://github.com/kendryte/nncase.git
100 lines
3.8 KiB
C++
100 lines
3.8 KiB
C++
/* Copyright 2019-2021 Canaan Inc.
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
#include "kernel_test.h"
|
|
#include <gtest/gtest.h>
|
|
#include <iostream>
|
|
#include <nncase/kernels/stackvm/tensor_ops.h>
|
|
#include <nncase/runtime/datatypes.h>
|
|
#include <nncase/runtime/runtime_tensor.h>
|
|
#include <nncase/runtime/simple_types.h>
|
|
#include <nncase/runtime/stackvm/opcode.h>
|
|
#include <ortki/operators.h>
|
|
|
|
using namespace nncase;
|
|
using namespace nncase::runtime;
|
|
using namespace ortki;
|
|
|
|
class GatherNDTest
|
|
: public KernelTest,
|
|
public ::testing::TestWithParam<std::tuple<nncase::typecode_t, dims_t>> {
|
|
public:
|
|
void SetUp() override {
|
|
auto &&[typecode, shape] = GetParam();
|
|
|
|
// size_t size = 0;
|
|
int32_t input_array[] = {0, 1, 2, 3};
|
|
input = hrt::create(dt_int32, shape,
|
|
{reinterpret_cast<gsl::byte *>(input_array),
|
|
sizeof(input_array)},
|
|
true, host_runtime_tensor::pool_cpu_only)
|
|
.expect("create tensor failed");
|
|
|
|
int64_t indices_array[] = {0, 0, 1, 1};
|
|
indices = hrt::create(dt_int64, shape,
|
|
{reinterpret_cast<gsl::byte *>(indices_array),
|
|
sizeof(indices_array)},
|
|
true, host_runtime_tensor::pool_cpu_only)
|
|
.expect("create tensor failed");
|
|
|
|
int64_t batchDims_array[] = {0};
|
|
batchDims = hrt::create(dt_int64, {1},
|
|
{reinterpret_cast<gsl::byte *>(batchDims_array),
|
|
sizeof(batchDims_array)},
|
|
true, host_runtime_tensor::pool_cpu_only)
|
|
.expect("create tensor failed");
|
|
}
|
|
|
|
void TearDown() override {}
|
|
|
|
protected:
|
|
runtime_tensor input;
|
|
runtime_tensor indices;
|
|
runtime_tensor batchDims;
|
|
};
|
|
|
|
INSTANTIATE_TEST_SUITE_P(gather_nd, GatherNDTest,
|
|
testing::Combine(testing::Values(dt_int32, dt_int64),
|
|
testing::Values(dims_t{2, 2})));
|
|
|
|
TEST_P(GatherNDTest, gather_nd) {
|
|
auto input_ort = runtime_tensor_2_ort_tensor(input);
|
|
auto indices_ort = runtime_tensor_2_ort_tensor(indices);
|
|
|
|
// expected
|
|
auto output_ort = ortki_GatherND(input_ort, indices_ort, 0);
|
|
size_t size = 0;
|
|
void *ptr_ort = tensor_buffer(output_ort, &size);
|
|
dims_t shape(tensor_rank(output_ort));
|
|
tensor_shape(output_ort, reinterpret_cast<int64_t *>(shape.data()));
|
|
auto expected = hrt::create(input.datatype(), shape,
|
|
{reinterpret_cast<gsl::byte *>(ptr_ort), size},
|
|
true, host_runtime_tensor::pool_cpu_only)
|
|
.expect("create tensor failed");
|
|
|
|
// actual
|
|
auto output = kernels::stackvm::gather_nd(input.impl(), batchDims.impl(),
|
|
indices.impl())
|
|
.expect("gather failed");
|
|
runtime_tensor actual(output.as<tensor>().expect("as tensor failed"));
|
|
|
|
// compare
|
|
EXPECT_TRUE(is_same_tensor(expected, actual) ||
|
|
cosine_similarity_tensor(expected, actual));
|
|
}
|
|
|
|
int main(int argc, char *argv[]) {
|
|
::testing::InitGoogleTest(&argc, argv);
|
|
return RUN_ALL_TESTS();
|
|
} |